Notice Period: Immediate Joiners (0-30 Days Preferred)
We are hiring an experienced Python SQL Data Engineer to join a high-impact data engineering team. The ideal candidate should have strong expertise in Python, SQL, ETL development, and building scalable data pipelines to support enterprise data platforms and analytics initiatives.
Key Responsibilities
- Design, develop, and maintain robust ETL/data processing pipelines.
- Develop and optimize data ingestion, transformation, and validation workflows using Python and SQL.
- Build scalable solutions for processing large volumes of structured and unstructured data.
- Perform data quality checks, reconciliation, and performance tuning.
- Work closely with business and technical stakeholders to understand data requirements.
- Support data migration, integration, and modernization initiatives.
- Ensure data accuracy, reliability, and compliance with organizational standards.
Required Skills
- Strong hands-on experience in Python
- Robust expertise in SQL
- Experience in Data Engineering
- Experience in ETL Development
- Data Pipeline Design & Development
- Data Transformation & Data Validation
- Data Warehousing Concepts
- Strong analytical and problem-solving skills
Candidate Profile
- 6 to 12 years of relevant experience.
- Strong experience in Python and SQL-based data engineering projects.
- Good understanding of data pipelines, ETL processes, and large-scale data processing.
- Excellent communication and stakeholder management skills.
- Immediate joiners or candidates who can join within 30 days are highly preferred.
Role to discuss with candidates: Python SQL Data Engineer / Data Engineer (Python & SQL) .